Federico Tombari

Federico Tombari

Federico Tombari is a Senior Staff Research Scientist and manager at Google, where he leads an applied research team on computer vision and machine learning. He is also a Lecturer (PrivatDozent) at the Technical University of Munich (TUM). He has 200+ peer-reviewed publications in the field of 3D computer vision and machine learning and their applications to robotics, autonomous driving, healthcare and augmented reality. He got his PhD in 2009 from the University of Bologna and his Habilitation from TUM in 2018. In 2018-19 he was co-founder and managing director of Pointu3D, a Munich-based startup on 3D perception for AR and robotics. He regularly serves as Chair and Ass. Editor for international conferences and journals in the field (ECCV18, 3DV19, ICMVA19, 3DV20, IROS20, ICRA20, RA-L among others). He was the recipient, among others, of two Google Faculty Research Awards (in 2015 and 2018), an Amazon Research Award (in 2017), 2 CVPR Outstanding Reviewer Awards (2017, 2018).
Authored Publications
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    TextMesh: Generation of Realistic 3D Meshes From Text Prompts
    Christina Tsalicoglou
    Fabian Manhardt
    Michael Niemeyer
    3DV 2024 (2024)
    SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes
    Delitzas Alexandros
    Ayça Takmaz
    Marc Pollefeys
    Francis Engelmann
    CVPR (2024) (to appear)
    LatentSwap3D: Swapping Latent Codes for Semantic Edits
    Enis Simsar
    Evin Pınar Örnek
    Proceedings of the IEEE/CVF International Conference on Computer Vision (2023)
    OpenMask3D: Open-Vocabulary 3D Instance Segmentation
    Ayça Takmaz
    Elisabetta Fedele
    Marc Pollefeys
    Francis Engelmann
    NeurIPS (2023)
    Opportunistic Interfaces for Augmented Reality: Transforming Everyday Objects into Tangible 6DoF Interfaces Using Ad hoc UI
    Mathieu Le Goc
    Alex Olwal
    Shengzhi Wu
    Danhang "Danny" Tang
    Jun Zhang
    David Joseph New Tan
    Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems, ACM